JPS6046044A - Semiconductor sorting device - Google Patents
Semiconductor sorting deviceInfo
- Publication number
- JPS6046044A JPS6046044A JP15387783A JP15387783A JPS6046044A JP S6046044 A JPS6046044 A JP S6046044A JP 15387783 A JP15387783 A JP 15387783A JP 15387783 A JP15387783 A JP 15387783A JP S6046044 A JPS6046044 A JP S6046044A
- Authority
- JP
- Japan
- Prior art keywords
- characteristic
- standard
- product
- section
- sorting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L22/00—Testing or measuring during manufacture or treatment; Reliability measurements, i.e. testing of parts without further processing to modify the parts as such; Structural arrangements therefor
Abstract
Description
【発明の詳細な説明】
ハ
本発明はトランジスタ、集積回路等、半導体装置の特性
選別装置に関するものである。DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a characteristic selection device for semiconductor devices such as transistors and integrated circuits.
従来の特性選別装置は、カタログ等で規定された規格を
基に、半導体装置の特性測定を行ない、から外れた特性
の製品は、規格の中には入っていても、何らかの欠陥を
もっている場合があり、実使用状態で劣化する傾向が多
い。例えば、トランジスタの熱抵抗特性は、チップの素
材ロフトによってきまってくるもので同一素材チップを
測度したトランジスタの熱抵抗特性は、普通規格よりせ
まい範囲で分布する。同一ロットの中で分布から外れた
熱抵抗特性をもったトランジスタは、多くの場合、組立
工程(チップマウント工程)の不具合がその原因であシ
実使用中に劣化する。、その為、まずロフト毎に熱抵抗
特性分布を、抜取ルサンプルの測定によって計算し、そ
の結果を特性選別装置に判定規格として設定するという
作業が必要とされていた。Conventional characteristic sorting equipment measures the characteristics of semiconductor devices based on standards stipulated in catalogs, etc., and products with characteristics that deviate from the standards may have some kind of defect even if they fall within the standards. There is a tendency for it to deteriorate under actual use conditions. For example, the thermal resistance characteristics of a transistor are determined by the material loft of the chip, and the thermal resistance characteristics of transistors measured on chips made of the same material are normally distributed in a narrower range than the standard. Transistors with thermal resistance characteristics that deviate from the distribution within the same lot often deteriorate during actual use due to defects in the assembly process (chip mounting process). Therefore, it was necessary to first calculate the thermal resistance characteristic distribution for each loft by measuring a sample, and then set the results as a judgment standard in the characteristic selection device.
市場の品質信頼性要求が厳しくなるにつれて、以上の理
由により特性値のバラツキを管理する事が重要となって
きて、従来の製品規格だけで良品・不良品を判定するだ
けでは、不充分となってきている。As the quality reliability requirements of the market become stricter, it has become important to control variations in characteristic values for the reasons mentioned above, and it is no longer sufficient to judge good and defective products based only on conventional product standards. It's coming.
本発明の目的は、製品規格に加えて、製品ロツト毎に特
性分布に基づいた規格での半導体装置の選別を容易に行
なえ、高品質信頼性の製品を得る事にある。An object of the present invention is to easily select semiconductor devices based on specifications based on characteristic distribution for each product lot in addition to product specifications, and to obtain products with high quality and reliability.
本発明によれば、半導体装置測定部と測定値集計部とを
含み、この測定値集計部では測定部の測定結果に基づき
測定結果の分布状態から良品判定範囲を設定する半導体
装置選別装置を得る。According to the present invention, there is obtained a semiconductor device sorting device that includes a semiconductor device measuring section and a measured value aggregating section, and the measured value aggregating section sets a non-defective judgment range from the distribution state of the measurement results based on the measurement results of the measuring section. .
以下、図面を用いて本発明を説明する。Hereinafter, the present invention will be explained using the drawings.
第1図は本発明の一実施例による選別装置の構成を示す
。半導体装置の挿入部1がら挿入された半導体装置5は
特性測定部2でその電気的特性が測定させ、その測定結
果にもとづいて、分類機構部3で良品・不良品に分類さ
れる。一方、特性測定部2で得られた測定結果から製品
の良否の判定は計算機部4で行われ、この計算機部4で
分類機構部3の動作を指示する。更に計算機部4では特
性測定部2で得られたl特性測定結果を集計して分布計
算処理し、その結果にもとづいて自から判定規格を設定
する機能をももっている。すなわち、あらかじめ定めら
れた特性範囲内であっても、その半導体装置5の同一ロ
ット内の分布から特性がかけ離れたものは不良と判定す
る。FIG. 1 shows the configuration of a sorting device according to an embodiment of the present invention. The electrical characteristics of the semiconductor device 5 inserted into the semiconductor device insertion section 1 are measured by the characteristic measurement section 2, and based on the measurement results, the classification mechanism section 3 classifies the semiconductor device into good and defective products. On the other hand, a computer section 4 determines whether the product is good or bad based on the measurement results obtained by the characteristic measuring section 2, and this computer section 4 instructs the operation of the classification mechanism section 3. Furthermore, the computer section 4 has a function of summing up the l-characteristic measurement results obtained by the characteristic measuring section 2, performing distribution calculation processing, and setting a determination standard on its own based on the results. That is, even if the characteristics are within a predetermined range, semiconductor devices 5 whose characteristics are far from the distribution within the same lot are determined to be defective.
本選別装置の選別作業の一例を第2図を参照して操作手
順に従がって以下説明する。An example of the sorting operation of this sorting device will be described below in accordance with the operating procedure with reference to FIG. 2.
1゜
料数n(個)と統計計算処理結果を規格値■としてフィ
ードバックする際に必要な標準偏差の倍数〔例えば3(
v))をプログラムする。次に試料n(@の測定を開始
する。個々の試料である半導体装置5は特性測定部2で
特性測定を行なわれ、その値は、計算機部4に記憶され
ながら統計計算処理され、特性値平均+xt 、標準偏
差(Vlの値を算出する。1゜The multiple of the standard deviation required when feeding back the number of charges n (pieces) and the statistical calculation processing results as the standard value ■ [for example, 3 (
v))). Next, measurement of sample n(@ starts. The semiconductor device 5, which is an individual sample, undergoes characteristic measurement in the characteristic measuring section 2, and the value is stored in the computer section 4 and subjected to statistical calculation processing, and the characteristic value is Calculate the value of mean + xt, standard deviation (Vl).
その値は、計算機部4内部で特性規格値■としてフィー
ドバックされ、半導体装置の特性規格値は初めにプログ
ラムされた特性規格値Iと、試料測定結果から得られた
特性規格値■を加えた特性規格値Iとして設定される。The value is fed back as the characteristic standard value ■ inside the computer section 4, and the characteristic standard value of the semiconductor device is the characteristic obtained by adding the characteristic standard value I programmed at the beginning and the characteristic standard value ■ obtained from the sample measurement result. It is set as standard value I.
以降、試料と同一ロットの半導体装置の選別作業を開始
する。半導体装 1置5は選別装置の挿入部1から送シ
込まれて特性測定部2で測定される。測定結果は、計算
機部4で特性規格値■と比較判定され、分類機構部3で
良品、不良品に分類される。After that, we will begin the process of sorting semiconductor devices from the same lot as the sample. A semiconductor device 1 5 is fed from the insertion section 1 of the sorting device and measured by the characteristic measurement section 2 . The measurement results are compared with characteristic standard values (■) in the computer section 4, and classified into good and defective products by the classification mechanism section 3.
第3図は本発明における特性規格値の設定の仕方を示す
図である。■はカタログなどに基づ〈特性規格値■の良
品範囲を表わす。■は、n(個)の試料の測定によって
得られたロットA、ロットB、ロットC1各ロット毎に
得られた分、布規格(特性規格値■)の例である。■は
以上二つの特性規格値を加えて、得られるそれぞれ、ロ
ットA。FIG. 3 is a diagram showing how to set characteristic standard values in the present invention. ■ represents the range of non-defective products based on catalogs, etc. (characteristic standard values ■). (2) is an example of the distribution standard (characteristic standard value (2)) obtained for each lot of Lot A, Lot B, and Lot C1 obtained by measuring n (pieces) of samples. ■ is Lot A obtained by adding the above two characteristic specification values.
ロットB、ロットCの最終選別規格(特性規格値l)を
表わす。このように、本発明の選別装置によれば、カタ
ログ規格内であっても、ロフト内の分布からみて特性の
離れたものは不良品として判定されるので、選別された
良品の信頼性は高いものである。It represents the final sorting standard (characteristic standard value l) of lot B and lot C. As described above, according to the sorting device of the present invention, even if the products are within the catalog standard, products with different characteristics based on the distribution within the loft are judged as defective products, so the reliability of the selected good products is high. It is something.
また本選別装置は、分布選別(特性規格■)のみにも使
用可能でちゃ半導体装置以外の他の電子部品を含む各部
品にも適用出来る。Furthermore, this sorting device can be used only for distribution sorting (characteristic standard ■) and can also be applied to various parts including electronic parts other than semiconductor devices.
第1図は本発明による半導体選別装置の構成を示すブロ
ック図である。
1・・・・・・製品挿入部、2・・・・・・測定部、3
・・・・・・分類機構部、4・・・・・・計算機部。
第2図は計算処理システムのフローチャートである。
第3図は特性規格値の設定の仕方を示す説明図である。
■・・・・・・特性規格値■(製品規格)、■・・・・
・・特性規格値■(分布規格)、璽・・・・・・特性規
格値It(選別規格)。
第1図
第3図
第2図
90FIG. 1 is a block diagram showing the configuration of a semiconductor sorting device according to the present invention. 1...Product insertion part, 2...Measurement part, 3
...Classification mechanism section, 4...Computer section. FIG. 2 is a flowchart of the calculation processing system. FIG. 3 is an explanatory diagram showing how to set characteristic standard values. ■・・・Characteristics standard value■(Product standard),■・・・・
・・Characteristic standard value ■ (distribution standard), seal ・・Characteristic standard value It (selection standard). Figure 1 Figure 3 Figure 2 90
Claims (1)
結果から特性分布を計算処理し、その結果を基に自から
規格設定を行なう計算部と、計算部からの規格に基づい
て良否を判定し、前記半導体装置を分類する分類部とを
有することを特徴とする半導体選別装置。There is a characteristic measuring section of a semiconductor device, a calculating section that calculates the characteristic distribution from the measurement results obtained by the characteristic measuring section, and sets standards by itself based on the results, and a device that determines pass/fail based on the standards from the calculating section. A semiconductor sorting device comprising: a classification section that makes a determination and classifies the semiconductor devices.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP15387783A JPS6046044A (en) | 1983-08-23 | 1983-08-23 | Semiconductor sorting device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP15387783A JPS6046044A (en) | 1983-08-23 | 1983-08-23 | Semiconductor sorting device |
Publications (1)
Publication Number | Publication Date |
---|---|
JPS6046044A true JPS6046044A (en) | 1985-03-12 |
Family
ID=15572059
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP15387783A Pending JPS6046044A (en) | 1983-08-23 | 1983-08-23 | Semiconductor sorting device |
Country Status (1)
Country | Link |
---|---|
JP (1) | JPS6046044A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2007113968A1 (en) * | 2006-03-31 | 2007-10-11 | Matsushita Electric Industrial Co., Ltd. | Semiconductor integrated circuit testing method and information recording medium |
-
1983
- 1983-08-23 JP JP15387783A patent/JPS6046044A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2007113968A1 (en) * | 2006-03-31 | 2007-10-11 | Matsushita Electric Industrial Co., Ltd. | Semiconductor integrated circuit testing method and information recording medium |
US7719301B2 (en) | 2006-03-31 | 2010-05-18 | Panasonic Corporation | Testing method of semiconductor integrated circuit and information recording medium |
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